app/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
app/database/2016-2017/SP1.csv,sha256=i_8WMgEZsIMgnXsERhmC16P4Ia84DnbyXgEkJo-Izck,95845
app/database/2016-2017/fbref_extraction.ipynb,sha256=RUJPEUBCNxtWO2Tq83odo72Hz4V3l1CiCxZakl8c608,154437
app/database/2016-2017/matches_2016-2017.csv,sha256=MFRo0buagG4j29KsE2SkVOxTmQMQKg9U799Ux-d4inM,105092
app/database/2017-2018/SP1.csv,sha256=3RxBkRQvRGPdxYgQFhU-mfYRTF5hIlUH9hEN-B33XgM,96420
app/database/2017-2018/fbref_extraction.ipynb,sha256=RUJPEUBCNxtWO2Tq83odo72Hz4V3l1CiCxZakl8c608,154437
app/database/2017-2018/matches_2017-2018.csv,sha256=PXGMjw5knVadrbP51iTJuas2nUdniqnKN_QeTjTEonY,611477
app/database/2017-2018/rankings_2017-2018.csv,sha256=ms1q0KBu8QHUZojyowrY70FyRkw_N9Tt3KYPJGFfLNc,49098
app/database/2018-2019/SP1.csv,sha256=zI9X7rAq9ig6fdUgvQSCbHPRW1fDUWcXSum-QxtwhXY,92533
app/database/2018-2019/matches_2018-2019.csv,sha256=uugYnEQFieAeOT_8yWXJ3yJF_VYbQnEJcH4HkL238KM,611019
app/database/2018-2019/rankings_2018-2019.csv,sha256=PwXEXwUh8RLOKPY1gsqKn1t0dYv5iVG0BTaYTS8F3j8,48900
app/database/2019-2020/SP1.csv,sha256=y2HuVRlNVu7in7T6aFCZsvzD7nZBx2n9BZP7V49r5fY,171270
app/database/2019-2020/matches_2019-2020.csv,sha256=szRSP8ZlmBYZpzW3wxpC38TALnqdrnGO3Ip58F6Imtw,604428
app/database/2019-2020/rankings_2019-2020.csv,sha256=LQ4HI9x89bl7ZOOodd0Mz9lHarDpsFB_q06UQEG18P4,48695
app/database/2020-2021/SP1.csv,sha256=RSWG3WjD_n7yvOdH70LhI_H3JlnFvSsOP75d8j3CXME,171340
app/database/2020-2021/matches_2020-2021.csv,sha256=9oStMQgkdxvIZwrftVOH4pDwjLt-IZIaHBJnXVYGL0s,592331
app/database/2020-2021/rankings_2020-2021.csv,sha256=Zx0ptQsBkXYJnd9DcRDXIjpi1m2whfpPwaAnvdeZS60,48450
app/database/2021-2022/SP1.csv,sha256=NMffynHUgR2NyhowJxAGvsf0KJJFNgGxB2zCl7KKEDc,171793
app/database/2021-2022/matches_2021-2022.csv,sha256=THLg4tmUH9suS0jxizWbHUIrsAPN2gw-CYQPciziOao,596763
app/database/2021-2022/rankings_2021-2022.csv,sha256=bnPyujE-VQnlkb4v0obSOrLkc2mzyFPPke8nzKX3Yzo,48806
app/database/2022-2023/SP1.csv,sha256=oU8BM5Ud1yHzEOM3jv5ZGiQeZHNCwYglIj4F3IqtsAM,171818
app/database/2022-2023/matches_2022-2023.csv,sha256=ThvuEkElYU_PghKIfW-T4wDLRF0_nUz_eGj7FdbhS9c,595754
app/database/2022-2023/rankings_2022-2023.csv,sha256=lqUXUgOSZv6U-7-hbld_K06op5EYjObufZxwCzhPuEA,49037
app/database/2023-2024/SP1.csv,sha256=wSSBXa5zNzJaZ2I_oFST74cPZ_eIKKqGsPYNW-og8Pw,167783
app/database/2023-2024/matches_2023-2024.csv,sha256=yn30XzUqVi_ja7HjGV47nN7GeOIeDottXe4130zo70U,595868
app/database/2023-2024/rankings_2023-2024.csv,sha256=JtoMN9SDqO4Uuaw10UebjunENpvy47pVqjI0xqCMRhk,49013
app/database/2024-2025/betting_2024-2025.csv,sha256=AgOwOLuIums3hjUkkyWj37Ox8wTLT0snc0YwelbkUqg,144209
app/database/2024-2025/matches_2024-2025.csv,sha256=8lm7mFZ74Uui6M374PeGTxAWkVWqXAQmRKVjMGcKfAo,409545
app/database/2024-2025/rankings_2024-2025.csv,sha256=vjf1llL05sCYPQ8DQgpKgFmzJERyZm-R-Vch9_B3c4E,33050
app/main.py,sha256=K6GbfJbWTwRVOblDq475Kq9QeQKmP76Mj4bWjHMQh24,776
app/model_testing/RandomForestClassifier.ipynb,sha256=VD7l8iIEhW7ei52kBHx56a-S6JEfsZN9gI-EYqN_A6I,317855
app/model_testing/SGDClassifier.ipynb,sha256=X3QSpQ00ir9Fh5RwX9yOOq2S45_zfCjiJrRaDNTNDTs,53906
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/meta.yaml,sha256=WQrIrj4RhBLnjiI10xiGZ_wXbr-DrSZP6DXfm0jztgo,508
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/metrics/Last Split Train Accuracy,sha256=CUkWZNA_d5KGRYQMp4I6mZljqc1kDkaq2RubS218nI4,35
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/metrics/Test Accuracy,sha256=GYsfjg3bMWUPVMvgH4VdXw3B22vk-pf1xlGvHSBs2_U,35
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/params/SGDClassifier__tol,sha256=MSuV7lo0TS96Fq2Bf_cHiJgNpuMLm7BLZR1ThHq9R28,4
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/params/features,sha256=1aDytQ6GVmsEQ_vw5VkUxKQ1KXShXJmf8pNtf_l9c1Q,138
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/tags/mlflow.note.content,sha256=brHnlz5446TC6ZN8rfjAgxjy-UiBnR_crlo26bTZG7M,19
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/tags/mlflow.runName,sha256=GG0_BxdaIaKKiqetTvpJUIbn8W8YoUTdgzIcwv1C7KE,15
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/1462542a82c040bea82072e705dfbcfe/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/meta.yaml,sha256=OR_Ig0xT-j2aDfzLqxqhg0FlE8sZr-V1sGqa5OgXv38,508
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/metrics/Last Split Train Accuracy,sha256=tWVqK7EnTdnl5CpXi5eiDD03pVq1Ti_0GfF12BoKz2w,35
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/metrics/Test Accuracy,sha256=edtqV4VDIkuPRyOmC-GwNsOxfQ_KYh9e8psunfmPNHQ,35
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/params/SGDClassifier__tol,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/params/features,sha256=1aDytQ6GVmsEQ_vw5VkUxKQ1KXShXJmf8pNtf_l9c1Q,138
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/tags/mlflow.note.content,sha256=iic7uheD_r3UY0DL8c5cKcsJBy1SFYkWdFCoG0um0SQ,19
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/tags/mlflow.runName,sha256=3Jt7KQksDWqBRVaIcGAQ4NnVpGJ_l-lI-xmPsBsfJX0,15
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/284fbf461b9f40bcb53f42fd02902c65/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/meta.yaml,sha256=Ku7SrZ4LKmTWTLCZqbMr0ZTqRhRPOhI3b9VYv6FgYv8,507
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/metrics/Test Accuracy,sha256=Ue7dQAXqsowcm6gQNoDIDzYf9xq7m_diJ1wrsyqBUW0,35
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/Best split number,sha256=TgdAhWK-24tgzgXB3s_jrRa3IjCWfeAfZAt-Rym0n84,1
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/Features,sha256=RUpOixBmsS8UXI-iua5eeOgap7TrJKe9IHyAc3QYr3U,374
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/criterion,sha256=Z2caL1PdkQqLNYQO22oKHnUa5VMheMp_AluCPu4xeZI,7
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/max_depth,sha256=SyJ3d9TdH8Ycb4hPSGQdArTRIdP9Moywi1Ux_Kzav4o,1
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/max_features,sha256=3JN7WYkmBPWoaslpNs1_8J4l8Yrmt1joAUokx_oDnpE,4
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/min_samples_leaf,sha256=a4ayc_80_OGda4BO_1o_V0etpOqiLx1JwB5S3beHW0s,1
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/min_samples_split,sha256=lADxshy1J9f6PT6rupNVehjr56LKTkcc_l5MW0yn92c,2
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/params/n_estimators,sha256=D9QrP3PESLNJQLM5-H0HrfEWsFwCJ6rXLo8O6QUz5pk,3
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/tags/mlflow.note.content,sha256=Eu0UPupvLxEdkkVFYmg5d_bwsOZoiHHqwgIYd3Venlc,9
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/tags/mlflow.runColor,sha256=FCstCHXyXXV8K0b2NpWmglkl5DViUDVRq9l32Ekq6cE,7
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/tags/mlflow.runName,sha256=R-4wgjheaql6_MKMyHD6FELiD7xPee9-z5uwRCz26ko,14
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/29e3c7d8a0634e75ab646260539c019c/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/meta.yaml,sha256=w8jHRNAuCx6xF0r8zLgMKsroJgDmeupk2hzgqNMB2t8,509
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/metrics/Last Split Train Accuracy,sha256=b6Yjutie2UXhxW1KsPttZJVFjAkyxatZHdXNLZqf2fM,35
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/metrics/Test Accuracy,sha256=qc92oAvy3bh6aptAY-nsc5V0RwW9_mqvupteAf3EQTo,34
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/params/Best split number,sha256=3JN7WYkmBPWoaslpNs1_8J4l8Yrmt1joAUokx_oDnpE,4
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/params/features,sha256=LedYfI2IYpm_bdVPfmYSXbu-FdvQeKrXra5Et7sR1_E,315
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/tags/mlflow.note.content,sha256=Eu0UPupvLxEdkkVFYmg5d_bwsOZoiHHqwgIYd3Venlc,9
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/tags/mlflow.runName,sha256=f4uVd29ypreOntMXi630n5q8-EcYyBMcKY2Q459jC9A,16
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/599cba03171d4b2e9d07d6ee5ee4adf4/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/meta.yaml,sha256=9olp-m0DC9gELhtnLd4EckFY_daDrAW9tEq3h7zXgZc,514
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/metrics/Test Accuracy,sha256=dh_LEkWR-u0M49CdsmYm64uYEOG1yUn5xZqhvb3XAlo,35
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/Best split number,sha256=1HNeOiZeFu7gP1lxi5tdAwGcB9i2xR-Q2jpmbuwTqzU,1
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/Features,sha256=DjJDizX-wqg-CwPzrTLC_PpoXacQBkBdAQRx5qtx32k,193
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/criterion,sha256=jAWdCyvVMJ0vLO4PV3puoz0IqzU0tPChjh2GyFFVQRk,4
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/max_depth,sha256=7y0SfeN7lCuq0GFF5UsMYZofIjJ7LrvPvsePVWSv450,1
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/max_features,sha256=c6qlBx2fhhVQ1RRpy9ieCm5TcUhv2UyWdSgdHO-9URc,4
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/min_samples_leaf,sha256=eQJpm-Qsio5G-7tFAXJlF-hrIsVqGJ92JabaSQgbJFE,1
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/min_samples_split,sha256=SkTcFTZCBKgP6A6QOUVcwWCCgYIP4rJPHlIzreavHdU,2
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/params/n_estimators,sha256=x13iPYnfNrqSEodhbujttMmG4yinjgM-V8Hl4rWcg44,3
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/tags/mlflow.note.content,sha256=Eu0UPupvLxEdkkVFYmg5d_bwsOZoiHHqwgIYd3Venlc,9
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/tags/mlflow.runName,sha256=qG3HQtyy6A--Ia6HT_AVikNO47kYcjvX_VnmC_Estc0,14
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/tags/mlflow.source.name,sha256=eOxb3zmWsGqqrlBrkWKakpRS_3siBu6YPWcoZW8bpqo,133
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/5e4dddd726ee416994c26acc8e5981d6/tags/mlflow.user,sha256=KfOwlpKmdgL6_VUPJJOe9wsFs1FSjwt6jDa26W8rvmA,9
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/meta.yaml,sha256=-I_gJy6HSZjDulRc176MWjhmhTyXQHHN1TIu7qOZEPo,508
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/metrics/Last Split Train Accuracy,sha256=VoW6KtcHvcwcBcodrhyMx7MT2PBTtPM0xA_4eQAlSzc,35
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/metrics/Test Accuracy,sha256=4kW9rnz4MX-waBN7AOtVCVni-JZUTYrZfSTwUKGYXBo,35
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/params/SGDClassifier__tol,sha256=5Tmuusf9LtirqIVP7eqmVDaWL47hyCNBs5RpjwhbZJY,6
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/params/features,sha256=5vG5aVxSu8Hy_y-w4Jrv2Z3gImlczTDDfDAed4reFHg,72
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/tags/mlflow.note.content,sha256=X0leC1HruOUP1YWADnAsxZA0pmyQ-Egix42BExvSwN4,23
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/tags/mlflow.runName,sha256=-iyw7d7pL4pSHIq8ryGk8IMRSZC5KR8dr_z0oPfD144,15
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/6a19b700d64f466c8c87ded637661c5c/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/meta.yaml,sha256=5wA2OBQfwrfSNPg8ziX36dUkgryppN0yh5TCGMGMmpk,509
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/metrics/Last Split Train Accuracy,sha256=bZzbG9YAHWlrjQjdw5sqgyWt_qwFVQ4VwDGgDEowDfY,35
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/metrics/Test Accuracy,sha256=WmNzDneltOm-wj4es6dZtEkwErRJBu9ySPFntC7e-h4,35
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/Best split number,sha256=T8grJq7LR9KGjE7741gXMqPny8xsLvsyBiwIFwoF7rg,2
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__alpha,sha256=MSuV7lo0TS96Fq2Bf_cHiJgNpuMLm7BLZR1ThHq9R28,4
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__eta0,sha256=5Tmuusf9LtirqIVP7eqmVDaWL47hyCNBs5RpjwhbZJY,6
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__learning_rate,sha256=lvZUnGuXpkHk0QmeOev5ZuZJ3mT1v4J00nr60zVB5wI,8
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__max_iter,sha256=oXbusx5gHDh3yHwoQ6L1hJaJdSaeNp1chniLTC-S0qI,4
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/SGDClassifier__tol,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/params/features,sha256=CyykUu4hEaQ6YDTQAA9xSf4LSQeqehlDcc0XJeGi2OE,163
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/tags/mlflow.note.content,sha256=25CFH8_xpaxaU7zhVCXfBmHzVwjjLJSImAXBIBVXyOE,20
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/tags/mlflow.runName,sha256=vXOUxbWdl68w_TQDW3eEk0xA7ZYcWR6k173ytHTQcJw,16
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/759ad11e84864891aeea38f5b8a85901/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/meta.yaml,sha256=lbNh8-vftunP8FpVb4Wzfnb6I9oZMgWNEOUE7mDaOpw,508
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/metrics/Last Split Train Accuracy,sha256=IqaGGr43KHZQAZ8K0EnB0-zP--YkoZFjWHyAKTS9aog,35
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/metrics/Test Accuracy,sha256=273s1g6iPkBCJnTcfHeUDOtnbSmo-Sf4xUxtKIUvTfA,35
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/params/SGDClassifier__tol,sha256=5Tmuusf9LtirqIVP7eqmVDaWL47hyCNBs5RpjwhbZJY,6
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/params/features,sha256=qZWDvE6RJ0vxHwwKcLmrQpYSCJ0Xv6Q_nUyObbTgKcc,36
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/tags/mlflow.note.content,sha256=uZ64ax4Xe1rHv09VbUX0l1lddspE7h4wItCQ1cPjADE,22
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/tags/mlflow.runName,sha256=TIcF8iN061g__1hriw3b1WwFlXzN59u6gTmG-0TIlV8,15
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/7cdbf37d1b074887bc2cd66709229b10/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/meta.yaml,sha256=eNiCqXiYKZRuoFpoAAVmBDW5cZH96kIAxPkLUmZDw7M,508
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/metrics/Last Split Train Accuracy,sha256=c3RbTX-SwlwXB5TnCpuOLALZvleW0vwUgmgDiEKMKxI,35
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/metrics/Test Accuracy,sha256=yurD3Z3vw5cW2bWPGWbNO1EP2dLDFq85zi_GyFqzaHw,36
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/params/Features,sha256=klME-SGY4Cg3_JQsSzdLObl-KQRx71OfE12jB5fwzvI,87
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/params/SGDClassifier__tol,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/params/features,sha256=klME-SGY4Cg3_JQsSzdLObl-KQRx71OfE12jB5fwzvI,87
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/tags/mlflow.note.content,sha256=VbdFi4E1Cff5gyxdyI4GznI7e2UIkt1JCcyALQy1U74,26
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/tags/mlflow.runName,sha256=ANV8tL3lGgrINCsE5BNxoBqZ7lCbcC7sGlCbGLAoSTY,15
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/931d50ed3bbc4d9cab093b05b13f0fed/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/meta.yaml,sha256=ajYZhd1Dikg_FQtePzE2Yfg60VetcyfJt8mjRZJNrLU,508
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/metrics/Last Split Train Accuracy,sha256=_DsTvu9JaJJgJFTOdMZf6OAjfiOv-nfcSLEluckXhTs,35
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/metrics/Test Accuracy,sha256=8NVcIDspKeQ7oiV2GRWbZtTtwVoW-34iU_XbF3gU18M,35
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/params/SGDClassifier__tol,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/params/features,sha256=5vG5aVxSu8Hy_y-w4Jrv2Z3gImlczTDDfDAed4reFHg,72
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/tags/mlflow.note.content,sha256=Pe4iYuxrEbrgDZFBoEER2LsC7ohrBzCeOC5KBDzUENc,23
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/tags/mlflow.runName,sha256=h9Pi_u6Q-rzb9nMZ-YPPr-OBXluyJ-cfD-pOOaEOei8,15
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/a2f98e01fd45496eb9d6047a291df110/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/meta.yaml,sha256=ViADvq_VdZaJa6p7nMQpMPXH3-mmV1Qa680s8_OilgM,509
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/metrics/Last Split Train Accuracy,sha256=Q2JbEzgaQcIQs05ti5cE42FpEihLEi1DcD04tjhWiao,35
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/metrics/Test Accuracy,sha256=70tPAslL_nGwHClFMgvVoJo5avEA_ScsRcgY5blKa9A,35
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/params/SGDClassifier__tol,sha256=5Tmuusf9LtirqIVP7eqmVDaWL47hyCNBs5RpjwhbZJY,6
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/params/features,sha256=5eMh8V5n_fCuFNPWI4mswC510Ro-KQoaIxFpJjhv8Cg,123
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/tags/mlflow.note.content,sha256=nWJek4qPDEExj7pd2EClMNp8IR86A-T6G2mBQ4HEN9E,24
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/tags/mlflow.runName,sha256=sJmEKxmfuClXU11Ar9Nhs7gqOIktbgPfZwbjQtIyKQM,16
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/b43ec904be3e43838875e6809fad8428/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/meta.yaml,sha256=BaR90xN018f5dS0-Y-foth8IjCLLPr7Ysx6KzJKBQaI,509
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/metrics/Last Split Train Accuracy,sha256=pObi65b7IjBwii4rs3nKUNFXSAY-TdIuByrluvs7ehI,35
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/metrics/Test Accuracy,sha256=DinTsRpgG63samVdJeGMPJkiwPDV3nNUNkjr-2GimS0,35
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/Best split number,sha256=a1HUMd9dfxQcvs7M957fPdhhw7QGnwsRZho-76y7qRg,2
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__alpha,sha256=MSuV7lo0TS96Fq2Bf_cHiJgNpuMLm7BLZR1ThHq9R28,4
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__eta0,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__learning_rate,sha256=lvZUnGuXpkHk0QmeOev5ZuZJ3mT1v4J00nr60zVB5wI,8
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__max_iter,sha256=rVc2aGUSblVknssjrh1IiHVEl27-pGpI612Fpu600wY,3
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/SGDClassifier__tol,sha256=MSuV7lo0TS96Fq2Bf_cHiJgNpuMLm7BLZR1ThHq9R28,4
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/params/features,sha256=5eMh8V5n_fCuFNPWI4mswC510Ro-KQoaIxFpJjhv8Cg,123
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/tags/mlflow.note.content,sha256=Sal6Vpnml3TkjaF-A6g30UeKSLK_sZlRY9AvNyZXisw,36
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/tags/mlflow.runName,sha256=nPn0oAdiA1nDwolNaDBaj_ecvWG53HI-eM0PkQtVYVM,16
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/c467f9f2844e4f5a965ad3f568f659a1/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/meta.yaml,sha256=r9Al9Y_ydefV9Xjmxm8W6qvp1LjTQSRfn-KH7Yk0PFU,507
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/metrics/Test Accuracy,sha256=B4CCtPLMn6wkLK7XSH3CgMIUJQAbDOZactml8Bmc29Q,35
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/Best split number,sha256=1HNeOiZeFu7gP1lxi5tdAwGcB9i2xR-Q2jpmbuwTqzU,1
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/Features,sha256=Pq6TuOeDjKhm-sRcJKeOazCCfejN0gBOoiodWcmMPjc,303
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/criterion,sha256=Z2caL1PdkQqLNYQO22oKHnUa5VMheMp_AluCPu4xeZI,7
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/max_depth,sha256=TgdAhWK-24tgzgXB3s_jrRa3IjCWfeAfZAt-Rym0n84,1
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/max_features,sha256=3JN7WYkmBPWoaslpNs1_8J4l8Yrmt1joAUokx_oDnpE,4
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/min_samples_leaf,sha256=a4ayc_80_OGda4BO_1o_V0etpOqiLx1JwB5S3beHW0s,1
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/min_samples_split,sha256=U1-jDX4l3YpJ8VNneXNOyChhCNEV2lBF1387QYXY95A,2
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/params/n_estimators,sha256=potBLEKCVV8VVGz24fxCiTt-B_JxVXzrAhghCY3WbBs,2
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/tags/mlflow.note.content,sha256=Eu0UPupvLxEdkkVFYmg5d_bwsOZoiHHqwgIYd3Venlc,9
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/tags/mlflow.runColor,sha256=FCstCHXyXXV8K0b2NpWmglkl5DViUDVRq9l32Ekq6cE,7
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/tags/mlflow.runName,sha256=q1oA1f2dpONgoir3yQu0a6iNN1xjh6TIAyUVTyoD4VU,14
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/c835dd5efaf842ddba186de19ae4146c/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/meta.yaml,sha256=SAIysgh_DreLINmF23_ata_LWs19J795jTc6WHznjNs,508
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/metrics/Last Split Train Accuracy,sha256=dh0lEYotrzzbCLAwTePi9pZ-mvBOh_jm9PNCxNXvAHY,35
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/metrics/Test Accuracy,sha256=8zuifxDwfWfQgot3S7ooSqF6EQdlh4H4iEX971dw-nE,35
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/params/Features,sha256=5eMh8V5n_fCuFNPWI4mswC510Ro-KQoaIxFpJjhv8Cg,123
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/params/SGDClassifier__tol,sha256=5Tmuusf9LtirqIVP7eqmVDaWL47hyCNBs5RpjwhbZJY,6
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/params/features,sha256=5eMh8V5n_fCuFNPWI4mswC510Ro-KQoaIxFpJjhv8Cg,123
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/tags/mlflow.note.content,sha256=ifBeqAqnxEEmEfURYaLZ1kAavaui6AioNXS-1f1WfCA,24
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/tags/mlflow.runName,sha256=WjB4BlCnheBK22cvzm_gT6l8-2fI4SiHE2ua_SjzEnk,15
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/d8d375aba7eb487abad4139d8f01bdc0/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/meta.yaml,sha256=AyEcy-C3qgVMFG0madeGrZYl7KGOAVHh6pVYX4I1b0U,508
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/metrics/Last Split Train Accuracy,sha256=hxOFw0r8LD-cCnnDVpyaMg0YluKmO67q1-mj64zxjUY,35
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/metrics/Test Accuracy,sha256=7Dz4Noc2YrjPyMRCaX094FAzmTwExd_9wihIWZmBKMI,35
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/params/SGDClassifier__loss,sha256=TEY4azOMWSAcd4l4AM-n1GXW3QHys_73sJInJ3YQxKk,8
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/params/SGDClassifier__penalty,sha256=gdSbEGTHl6gnbysdADXAHDAnEsZbmDRGo6JS4O5N8hw,10
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/params/SGDClassifier__tol,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/params/features,sha256=klME-SGY4Cg3_JQsSzdLObl-KQRx71OfE12jB5fwzvI,87
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/tags/mlflow.note.content,sha256=d04zbh4PDc1lcNVCKPjIHrHogiqg-uAHCzAmUdsecjc,26
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/tags/mlflow.runName,sha256=GArsNGaklx4oCG_QUu7CCNLBEJR3PqoHwNYfgPCBcQA,15
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/dfd4ff854f9746f1bbab6f0d59367d17/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/meta.yaml,sha256=ECoXB6XlKDhrNglo2u6GDhbXrEdQvI45ZnOkzzIKi6k,508
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/metrics/Last Split Train Accuracy,sha256=WQ19o5qD9hw7YKyi49tMgM0_Q2Ap9WN9HP_AokX7PvI,35
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/metrics/Test Accuracy,sha256=aJkgAPPD5iVEmyjxU_seLgAPiwZ4GmOPB6WNg74ROg4,35
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/params/SGDClassifier__alpha,sha256=n8pRmHyWupLTXzAzU7cGXzERRQHJ8q-jdGP_H9_-jx8,5
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/params/SGDClassifier__loss,sha256=dwbDyU1fm1mKK8c4XrfFGrp09O7SqkZ7_LLGEaCJf6I,5
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/params/SGDClassifier__penalty,sha256=KAS61v6UpV8YsrN-MAkZpf1Re5WqgeldtXTAugaaN0A,2
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/params/SGDClassifier__tol,sha256=MSuV7lo0TS96Fq2Bf_cHiJgNpuMLm7BLZR1ThHq9R28,4
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/params/features,sha256=qZWDvE6RJ0vxHwwKcLmrQpYSCJ0Xv6Q_nUyObbTgKcc,36
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/tags/mlflow.note.content,sha256=bh5Fd9U-kp8INWfcLMqVYsuAP-CvmGg8Q0-LSqq_oaU,22
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/tags/mlflow.runColor,sha256=izEgPOuaitVtMB-OfVVZhTRLMNBH2GPnyRE3YkQrfjk,7
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/tags/mlflow.runName,sha256=tuYQoZgfOD7GlaGRta73qqBMLaQD9urOSUO32WZllhI,15
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/tags/mlflow.source.name,sha256=KvtgJeVWiKS3djFTJsHr30W5krWiZWRdkEEi4yYa2Mo,134
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/tags/mlflow.source.type,sha256=ZGwZNzrJ4n6XLI4732VUxMENIwBsGr7DQHy_-AxKtx8,5
app/model_testing/mlruns/492606161886242227/f582afd645de43b38fc68ff172d9ff96/tags/mlflow.user,sha256=IdAXxAqRwVdI8LmM2Ca6RF0tP-In4xC_1Y3LbEMYJqA,2
app/model_testing/mlruns/492606161886242227/meta.yaml,sha256=1DLke4CIaf26ymx1WRLuqev36ZD_MLaXEL4WLTIZVbA,299
app/routers/healthz.py,sha256=I0ZKCVvV1jfL04kXM3ffu3faPoGsHKBgFO3VblMhqAo,427
app/routers/hello_world.py,sha256=YP9jBk8edmgQjJsMM_yn0Ju7Adj7xjJbT1gYXU7uKAs,180
api_python_bet_project-0.1.22.dist-info/METADATA,sha256=W0YoLBpC5ROxjQIUudU1ZV0OKyKHuQBuOhuetxnidTs,921
api_python_bet_project-0.1.22.dist-info/WHEEL,sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4,88
api_python_bet_project-0.1.22.dist-info/RECORD,,
